Ming Li

Prof. Ming Li ''Shuang Long Scholar'' Distinguished Professor Institute of Electrical and Electronics Engineers (IEEE) Member Chinese Association for Artificial Intelligence (CAAI) Member China Computer Federation (CCF) Member Australian Mathematical Society (AustMS) Accredited Member Vice Director of Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Normal University Email: mingli@zjnu.edu.cn; ming.li.ltu@gmail.com addr.: No. 688, Yingbin Road, Wucheng District, Jinhua 321004, Zhejiang, China.

Biography

I am a "Shuang Long Scholar" Distinguished Professor at the Zhejiang Key Laboratory of Intelligent Education Technology and Application, the Director of GraphME Lab ( Graph Machine Learning and Intelligent Education). Zhejiang Normal University, China. I received the PhD degree from the Department of Computer Science and Information Technology at La Trobe University, Australia. I have published extensively in top-tier journals and conferences, including IEEE TPAMI, Artificial Intelligence, IEEE TKDE, SCIENCE CHINA-Information Sciences, IEEE TNNLS, ICML, AAAI, etc. I am a member of IEEE, the China Computer Federation (CCF), the Chinese Association for Artificial Intelligence (CAAI), and an accredited member of the Australian Mathematical Society (AustMS). As the leading guest editor, I organized a special issue on “Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications” in IEEE TNNLS, a special session on "Design and Theory of Deep Graph Learning" in the 2025 IEEE International Joint Conference on Neural Networks (IJCNN 2025), and a special session on "Recent Advances in Deep Learning for Graphs" in the 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science (LOD2022). I served as an AC/SPC/PC Member for top conferences such as ICML/NeurIPS/AAAI/WWW/KDD/ICLR. I am an Action/Associate Editor or Editorial Board Member for journals like Pattern Recognition, Neural Networks, Machine Learning, a member of IEEE Task Force on Learning for Structured Data. I am the recipient of the AAAI 2026 Outstanding Paper Award.

**I am seeking highly motivated students to collaborate with me on exciting research areas, including graph neural networks, graph representation learning, hypergraph neural networks, and geometric deep learning .

中文简介